Hire Generative AI Engineers
Engineers who ship production AI features: LLM chat, image and video generation, voice, provider routing, cost controls, and safety layers built around foundation models
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Ways to Hire Generative AI Engineers
Three engagement models, one vetting standard. Choose based on how much engineering capacity your AI roadmap actually needs.
Dedicated Generative AI Engineer
One engineer, full time, embedded in your team.
Your repos, your standups, your roadmap. Best when AI is central to the product, such as assistants, companion experiences, generation workflows, or AI features used throughout the application.
See monthly rates →Hourly AI Engagement
Senior Generative AI helps for a defined problem.
Integrate an LLM feature, reduce token costs, add provider fallback, improve prompt reliability, or troubleshoot an AI workflow that behaves differently in production. For a single integration or focused problem, hourly support may make more sense than a full-time seat.
See hourly rates →AI Product Team
Two to four engineers working under one technical lead.
Best for building an AI product end to end, including model integrations, application logic, APIs, user workflows, safety controls, and the surrounding product infrastructure.
Talk Through Team Sizing →The Generative AI Work We Take On
If you are looking to hire AI engineers, the first question is what kind of AI work you actually need. Our focus is application-layer Generative AI: production features built on existing foundation models, the same layer our own platforms run in production.
LLM Chat & AI Assistants
Conversational features using GPT, Claude, Grok, or supported open models. We handle prompt workflows, conversation state, streaming responses, context management, and the application logic around the model.
Talk to an ExpertRAG & Knowledge-Based AI
Connect LLMs to your documents, databases, APIs, and product data using retrieval, embeddings, and vector search. Build support assistants, internal knowledge tools, and AI search grounded in your own information.
Leave a RequestAI Agents & Automated Workflows
Build AI systems that call APIs, use tools, trigger actions, and move through multi-step workflows. Permissions, fallbacks, and action boundaries remain controlled by your application.
Order an EstimateImage, Video & Voice AI
Build image generation, asynchronous video workflows, text-to-speech, speech recognition, and voice experiences. Queues, retries, provider handling, and job status are built into the product workflow.
Share Your IdeaHow We Vet Generative AI Engineers
Four stages before anyone appears in a profile we send you. You see the evidence, not just the claim.
Application Review
We screen for shipped AI features, not prompt-engineering certificates or notebook demos. Candidates need evidence of production work with LLMs, generation workflows, or AI integrations used inside real products.
Technical Screen
A live session covering the problems that surface in production Generative AI: prompt design under difficult inputs, token and inference costs, streaming and asynchronous workflows, provider failures, rate limits, and where safety controls belong. No trivia questions.
Live Coding With a Lead
The candidate builds an AI feature inside an existing codebase while one of our technical leads reviews their approach. We look at how they handle model errors, malformed output, rate limits, retries, nondeterministic responses, and failure paths, not just the happy path.
Paid Test Project
A scoped, paid AI build reviewed against our engineering standards, including code structure, evaluation of model outputs, failure handling, test coverage for deterministic application logic, and PR discipline. Only engineers who clear this stage join the bench.
Hire a Generative AI Engineer in 4 Steps
From requirements call to first commit in 5 to 10 business days. Your total time: about one hour.
Requirements Call
Tell us what you want the AI to do, the stack it needs to work with, your current product setup, and preferred start date. You speak with a technical lead, not a sales layer. An NDA can be signed before any product or AI workflow details are shared.
Review Your Matched Engineer
We match a Generative AI engineer to your product and send you their profile, including relevant AI experience, stack history, and code samples. Not the right match? Tell us why and we rematch before anything is signed.
Engineer Starts in Your Repo
Your engineer joins your repositories, tools, standups, and workflow. The contract and IP assignment are signed before the first commit. Billing starts from day one.
Scale as You Need
Continue full time, add more engineering capacity as the AI roadmap grows, or scale down with 30 days notice and no exit fee. If the engineer is not the right fit, we replace them within 5 business days at no additional cost.
What You See Before Your Generative AI Engineer Starts
Every match comes with a profile pack showing the engineer's real AI experience before you decide whether they join your team.
Generative AI Engineer Profile Pack
Generated by Xpertz Vetting Team1. AI Experience Summary
See their years of experience, seniority, and the Generative AI features they have shipped. The summary is written by the technical lead who vetted them, not by the engineer.
2. Production AI Stack History
Review the model providers, APIs, frameworks, retrieval tools, generation workflows, and supporting technologies they have used in production and for how long.
3. Code Samples
Review real, recent code that shows how they handle model integrations, streaming, structured outputs, provider errors, retries, and the application logic around AI features.
4. Communication Check
See their English proficiency and confirmed working-hour overlap with your timezone before the engagement starts.
Not the right match after reviewing? We rematch you before anything is signed.
Generative AI Engineer Rates
What it costs to hire a Generative AI engineer through Xpertz: $30 to $100 per hour based on seniority, with full-time monthly plans priced below the equivalent hourly cost. Comparable US-based Generative AI engineers typically bill $100 to $250+ per hour. No recruitment fee or hidden overhead.
| Seniority | Experience | Hourly Rate | Monthly Full Time |
|---|---|---|---|
| Mid Level | 3 to 5 years | $30 - $45 | $3,500 - $5,000 |
| Senior | 5 to 8 years | $45 - $65 | $5,500 - $8,000 |
| Lead | 8+ years | $65 - $100 | $8,000 - $12,000 |
Generative AI Skills You Can Put to Work
The application-layer AI stack our engineers use to build model integrations, multimodal generation, production APIs, safety controls, and reliable AI workflows.
LLM Providers
Local & Open Models
Image Generation
Video & Voice AI
AI Application Backend
Safety & Moderation
Cost & Reliability
Delivery & Infrastructure
What Working With Your Generative AI Engineer Looks Like
Clear terms before your engineer starts. Know how code ownership, data privacy, stack compatibility, and scaling work before you sign.
Works Inside Your Project
Your engineer joins your repos, standups, issue tracker, and release workflow. NDA can be signed before profiles or product details are shared.
Your Data Stays Yours
Model inputs, prompts, training data, embeddings, and user records remain inside your infrastructure and under your control.
Keep Your Existing Stack
Existing frameworks, databases, cloud provider setup, and application architecture are retained. Rebuilding from scratch is not the default.
Works With Your AI Stack
Keep your chosen model providers, vector databases, and API services unless there is a clear reason to add or change providers.
Code and IP Belong to You
Application code, prompts, integrations, tests, and documentation belong to you. IP assignment is documented before the first commit.
Review, Replace, or Scale
Review the engineer before signing. We rematch if needed, offer a 5-day replacement after starting, and monthly engagements end with 30 days notice.
Why Teams Hire Generative AI Engineers From Xpertz
Clear rates, a defined start timeline, and ownership terms agreed before your Generative AI engineer starts.
Nathan
Engagement LeadRuns the requirements call and matches your Generative AI engineer.
Book a Technical CallRates based on seniority, with no recruitment fee or hidden overhead.
Receive a matched engineer profile after we understand your AI product, stack, and technical requirements.
Application code, prompts, integrations, tests, and documentation produced during the engagement belong to you.
Scale down or end a monthly engagement with 30 days notice and no exit fee.
Get Matched With a Generative AI Developer
Tell us what you need. We'll use it to shortlist developers who fit your stack, seniority, and working hours.
FAQs About Hiring Generative AI Engineers
Through Xpertz, mid-level Generative AI engineers with 3 to 5 years of experience cost $30 to $45 per hour, senior engineers with 5 to 8 years cost $45 to $65, and lead engineers with 8+ years cost $65 to $100. Full-time monthly engagements range from $3,500 to $12,000 depending on seniority and are priced below the equivalent hourly cost. Rates are all in, with no recruitment fee or hidden overhead. Comparable US-based Generative AI engineers typically bill $100 to $250+ per hour.
Most engagements go from the requirements call to the first commit in 5 to 10 business days. We send you a matched Generative AI engineer profile within 48 hours of understanding your product and technical requirements.
Yes. Before anything is signed, you receive the engineer's profile pack, including their AI experience summary, production AI stack history, code samples, and communication check. If the match is not right, we rematch you before the engagement starts.
Our focus is application-layer Generative AI: production features built on existing foundation models (OpenAI, Claude, Grok, open weights), RAG systems, AI agents, multimodal workflows, and the application backend surrounding the model. We focus on shipping usable AI features rather than training foundation models from scratch.
Yes. Generative AI engagements frequently include token optimization, prompt refactoring, caching strategies, model routing/fallbacks, streaming response handling, and selecting smaller/cheaper models for specific sub-tasks.
Our engineering team is based in Ho Chi Minh City, Vietnam. Working hours are arranged around your team, and the required timezone overlap is confirmed before you approve the engineer.
You do, 100%. Application code, prompts, retrieval pipelines, integrations, tests, and documentation produced during the engagement belong to you. Your data and prompts remain inside your infrastructure and under your control.
You review the engineer's profile, AI experience, stack history, and code samples before the engagement starts. If the initial match is not right, we rematch you before anything is signed. If the engineer is not the right fit after starting, we replace them within 5 business days at no additional cost.
Yes. Working inside an existing codebase is standard for our engineers. They can integrate LLM features, RAG pipelines, or voice/image APIs directly into your existing React, Node.js, Python, or mobile applications.
Tell Us Your AI Roadmap. We Match a Generative AI Engineer in 48 Hours.
You get their full profile, AI experience, and code samples before anything is signed. No recruitment fee, no obligation to hire.
